Mausam Mausam

67 papers and 2.0k indexed citations i.

About

Mausam Mausam is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Science Applications. According to data from OpenAlex, Mausam Mausam has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 12 papers in Computer Science Applications. Recurrent topics in Mausam Mausam’s work include Topic Modeling (36 papers), Natural Language Processing Techniques (28 papers) and Mobile Crowdsensing and Crowdsourcing (12 papers). Mausam Mausam is often cited by papers focused on Topic Modeling (36 papers), Natural Language Processing Techniques (28 papers) and Mobile Crowdsensing and Crowdsourcing (12 papers). Mausam Mausam collaborates with scholars based in India, United States and United Kingdom. Mausam Mausam's co-authors include Oren Etzioni, Daniel S. Weld, Nilesh Dalvi, Pedro Domingos, Sumit Sanghai, Deepak Kumar Verma, Stephen Soderland, Alan Ritter, Janara Christensen and Peng Dai and has published in prestigious journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and npj Computational Materials.

In The Last Decade

Co-authorship network of co-authors of Mausam Mausam i

Fields of papers citing papers by Mausam Mausam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mausam Mausam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mausam Mausam. The network helps show where Mausam Mausam may publish in the future.

Countries citing papers authored by Mausam Mausam

Since Specialization
Citations

This map shows the geographic impact of Mausam Mausam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mausam Mausam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mausam Mausam more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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